FAQ: Retrieval-Based Chatbots - Response Selection

This community-built FAQ covers the “Response Selection” exercise from the lesson “Retrieval-Based Chatbots”.

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This exercise can be found in the following Codecademy content:

Build Chatbots with Python

FAQs on the exercise Response Selection

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I struggle on more fronts in this exercise. What confused me here was an instruction " Use list slicing to select the entity string with the highest cosine similarity score, and save the result to entity . Don’t forget that word2vec_result is a list of lists!" where I finally understood I just look at what the highest score is. I do not need to write a function to compute this.

Do I get it right?